Instructions to use witiko/mathberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use witiko/mathberta with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("fill-mask", model="witiko/mathberta")# Load model directly from transformers import AutoTokenizer, AutoModelForMaskedLM tokenizer = AutoTokenizer.from_pretrained("witiko/mathberta") model = AutoModelForMaskedLM.from_pretrained("witiko/mathberta") - Inference
- Notebooks
- Google Colab
- Kaggle
Vít Novotný commited on
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Parent(s): c48f820
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README.md
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[1]: https://www.cs.rit.edu/~dprl/ARQMath/
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[2]: https://github.com/witiko/scm-at-arqmath3
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## Model description
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[1]: https://www.cs.rit.edu/~dprl/ARQMath/
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[2]: https://github.com/witiko/scm-at-arqmath3/blob/main/03-finetune-roberta.ipynb
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## Model description
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